Author

Zhi Xu

Ph.D. in EECS, MIT - Cited by 677 - Reinforcement Learning - Machine Learning - Operations Research - Theory

Biography

Zhi Xu is working as professor in Department of Neurology, Zhongda Hospital of Southeast University, Nanjing 210009, PR China. Research experience includes various programs, contributions and participation in different countries for diverse fields of Suicidal thoughts, Anxiety, Bypolar Psychosis, Childhood Anxiety and Childhood Disorders.
Title
Cited by
Year
Rethinking the Value of Labels for Improving Class-Imbalanced Learning
Y Yang, Z XuNeural Information Processing Systems (NeurIPS), 2020202
275
2020
ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation
Y Yang, G Zhang, D Katabi, Z XuInternational Conference on Machine Learning (ICML), 2019201
148
2019
On a modified DeGroot-Friedkin model of opinion dynamics
Z Xu, J Liu, T Başar2015 American Control Conference (ACC), 1047-1052, 2015201
65
2015
Distributed evaluation and convergence of self-appraisals in social networks
X Chen, J Liu, MA Belabbas, Z Xu, T BaşarIEEE Transactions on Automatic Control 62 (1), 291-304, 2016201
39
2016
Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation
D Shah, D Song, Z Xu, Y YangNeural Information Processing Systems (NeurIPS), 2020202
27
2020
Harnessing Structures for Value-Based Planning and Reinforcement Learning
Y Yang, G Zhang, Z Xu, D KatabiInternational Conference on Learning Representations (ICLR), 2019201
26
2019
Non-Asymptotic Analysis of Monte Carlo Tree Search
D Shah, Q Xie, Z XuOperations Research, 2020202
24
2020
Private sequential learning
JN Tsitsiklis, K Xu, Z XuConference on Learning Theory (COLT); Forthcoming in Operations Research, 2018201
22
2018
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators
A Agarwal, A Alomar, V Alumootil, D Shah, D Shen, Z Xu, C YangNeural Information Processing Systems (NeurIPS), 2021202
12
2021
On reinforcement learning using Monte Carlo tree search with supervised learning: Non-asymptotic analysis
D Shah, Q Xie, Z XuarXiv preprint arXiv:1902.05213, 2019201
10
2019
Competition over epidemic networks: Nash and Stackelberg games
Z Xu, A Khanafer, T Başar2015 American Control Conference (ACC), 2063-2068, 2015201
9
2015
Stable Reinforcement Learning with Unbounded State Space
D Shah, Q Xie, Z XuarXiv preprint arXiv:2006.04353, 2020202
7
2020
On Reinforcement Learning for Turn-based Zero-sum Markov Games
D Shah, V Somani, Q Xie, Z XuarXiv preprint arXiv:2002.10620, 2020202
7
2020
Robust GANs against dishonest adversaries
Z Xu, C Li, S JegelkaarXiv preprint arXiv:1802.09700, 2018201
4
2018
Private sequential search and optimization
Z XuMassachusetts Institute of Technology, 01701
2
2017

Referred From: https://scholar.google.com/citations?user=CbGdL4cAAAAJ&hl=en

Cited by
Citations 677
h-index 10
i10-index 10
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